H. Svoren, V. Thambawita, P. Halvorsen, P. Jakobsen, E. Garcia-Ceja, F. M. Noori, H. L. Hammer, M. Lux, M. Riegler, and S. Hicks. Toadstool: A Dataset for Training Emotional IntelligentMachines Playing Super Mario Bros In The ACM Multimedia Systems Conference (MMSys). The ACM Multimedia Systems Conference (MMSys): ACM, 2020.

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M. Lux, M. Riegler, D. Dang-Nguyen, J. Pirker, M. Potthast, and P. Halvorsen. GameStory Task at MediaEval 2019 In Proceedings of MediaEval 2019. CEUR Workshop Proceedings (CEUR-WS.org), 2019.

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gamestory_overview_2019.pdf (373.41 KB)

S. Hicks, P. Halvorsen, T. B. Haugen, J. M. Andersen, O. Witczak, K. Pogorelov, H. L. Hammer, D. Dang-Nguyen, M. Lux, and M. Riegler. Medico Multimedia Task at MediaEval 2019 In MediaEval. CEUR Workshop Proceedings, 2019.

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S. Hicks, P. Halvorsen, T. B. Haugen, J. M. Andersen, O. Witczak, K. Pogorelov, H. L. Hammer, D. Dang-Nguyen, M. Lux, and M. Riegler. Predicting Sperm Motility and Morphology using Deep Learning and Handcrafted Features In MediaEval., 2019.

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M. Lux, P. Halvorsen, D. Dang-Nguyen, H. K. Stensland, M. Kesavulu, M. Potthast, and M. Riegler. Summarizing E-Sports Matches and Tournaments: The Example of Counter-Strike: Global Offensive In International Workshop on Immersive Mixed and Virtual Environment Systems (MMVE). ACM, 2019.

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mmve_19_csgo.pdf (3.07 MB)

M. Steiner, M. Lux, and P. Halvorsen. The 2018 Medico Multimedia Task Submission of Team NOAT using Neural Network Features and Search-based Classification In Proceeding of the MediaEval Benchmarking Initiative for Multimedia Evaluation. CEUR Workshop Proceedings, 2018.

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team_noat_medico_task.pdf (451.59 KB)

S. Hicks, K. Pogorelov, M. Lux, M. Jeppsson, K. R. Randel, T. de Lange, S. L. Eskeland, P. Halvorsen, and M. Riegler. Comprehensible Reasoning and Automated Reporting of Medical Examinations Based on Deep Learning Analysis In Proceedings of the 9th ACM Multimedia Systems Conference. Amsterdam, Netherlands: ACM, 2018.

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M. Lux, M. Riegler, D. Dang-Nguyen, M. Larson, M. Potthast, and P. Halvorsen. GameStory Task at MediaEval 2018 In Proceeding of the MediaEval Benchmarking Initiative for Multimedia Evaluation. CEUR Workshop Proceedings, 2018.

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mediaeval_18_paper_8.pdf (650.09 KB)

K. Pogorelov, M. Riegler, P. Halvorsen, S. Hicks, K. R. Randel, D. Dang-Nguyen, M. Lux, O. Ostroukhova, and T. de Lange. Medico Multimedia Task at MediaEval 2018 In Working Notes Proceedings of the MediaEval 2018 Workshop. CEUR Workshop Proceedings, 2018.

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mediaeval_18_paper_63.pdf (348.1 KB)

S. Hicks, M. Lux, T. de Lange, K. R. Randel, M. Jeppsson, K. Pogorelov, P. Halvorsen, and M. Riegler. Mimir: An Automatic Reporting and Reasoning System for Deep Learning based Analysis in the Medical Domain In Proceedings of the 9th ACM Multimedia Systems Conference. Amsterdam, Netherlands: ACM, 2018.

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K. Pogorelov, Z. Albisser, O. Ostroukhova, M. Lux, D. Johansen, P. Halvorsen, and M. Riegler. OpenSea - Open Search Based Classification Tool In Proceedings of the 9th ACM Multimedia Systems Conference. Amsterdam, Netherlands: ACM, 2018.

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B. Ionescu, H. Müller, M. Villegas, A. G. S. de Herrera, C. Eickhoff, V. Andrearczyk, Y. D. Cid, V. Liauchuk, V. Kovalev, S. A. Hasan et al. Overview of ImageCLEF 2018: Challenges, datasets and evaluation In ImageCLEF 2018, Edited by P. Bellot. Springer, 2018.

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K. Pogorelov, M. Riegler, P. Halvorsen, C. Griwodz, T. de Lange, K. R. Randel, S. L. Eskeland, D. Dang-Nguyen, O. Olga, M. Lux et al. A comparison of deep learning with global features for gastrointestinal disease detection In MediaEval Benchmark 2017, Edited by M. Riegler. Dublin, Ireland: CEUR-WS.org, 2017.

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M. Riegler, H. Engelbrecht, and M. Lux. Interview column: introduction. ACM, 2017.

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K. Pogorelov, K. Ranheim, C. Griwodz, T. de Lange, S. L. Eskeland, D. Johansen, P. T. Schmidt, C. Spampinato, D. Dang-Nguyen, M. Lux et al. Kvasir: A Multi-Class Image-Dataset for Computer Aided Gastrointestinal Disease Detection In ACM Multimedia Systems. Taiwan: ACM, 2017.

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M. Lux, M. Riegler, P. Halvorsen, and G. MacStravic. LireSolr - A Visual Information Retrieval Server In ACM International Conference on Multimedia Retrieval, Edited by B. Ionescu and N. Sebe. Bucharest: ACM, 2017.

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M. Riegler, K. Pogorelov, P. Halvorsen, C. Griwodz, T. de Lange, K. R. Randel, S. L. Eskeland, D. Dang-Nguyen, M. Lux, and C. Spampinato. Multimedia for medicine: the medico Task at mediaEval 2017 In MediaEval Benchmark 2017, Edited by M. Riegler. Dublin, Ireland: CEUR-WS.org, 2017.

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K. Pogorelov, K. Ranheim, T. de Lange, S. L. Eskeland, D. Johansen, C. Griwodz, C. Spampinato, M. Taschwer, M. Lux, P. T. Schmidt et al. Nerthus: A Bowel Preparation Quality Video Dataset In ACM Multimedia Systems. Taipei: ACM, 2017.

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M. Riegler, K. Pogorelov, J. Markussen, M. Lux, H. K. Stensland, T. de Lange, C. Griwodz, P. Halvorsen, D. Johansen, P. T. Schmidt et al. Computer Aided Disease Detection System for Gastrointestinal Examinations In Multimedia Systems Conference 2016. New York: ACM, 2016.

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M. Riegler, K. Pogorelov, M. Lux, P. Halvorsen, C. Griwodz, S. L. Eskeland, and T. de Lange. Explorative Hyperbolic-Tree-Based Clustering Tool for Unsupervised Knowledge Discovery In International Workshop on Content-based Multimedia Indexing. IEEE / ACM, 2016.

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M. Lux, M. Riegler, K. Pogorelov, P. Halvorsen, and N. Anagnostopoulos. LIRE - Open Source Visual Information Retrieval In Multimedia System Conference 2016. New York: ACM, 2016.

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M. Riegler, C. Spampinato, P. Halvorsen, M. Lux, J. Markussen, K. Pogorelov, C. Griwodz, and H. K. Stensland. Right inflight? A dataset for exploring the automatic prediction of movies suitable for a watching situation In Multimedia Systems Conference 2016. New York: ACM, 2016.

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M. Guggenberger, M. Riegler, M. Lux, and P. Halvorsen. Event Understanding in Endoscopic Surgery Videos In HuEvent '14: Proceedings of the 1st ACM International Workshop on Human Centered Event Understanding from Multimedia. New York, NY, USA: ACM, 2014.

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M. Riegler, M. Lux, C. Zellot, L. Knoch, H. Schnattler, S. Napetschnig, J. Kogler, C. Degendorfer, N. Spot, and M. Zoderer. Gone: An Interactive Experience for Two People In MM '14: Proceedings of the ACM International Conference on Multimedia. New York, NY, USA: ACM, 2014.

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M. Riegler, M. Lux, and C. Kofler. How 'How' Reflects What's What: Content-based Exploitation of How Users Frame Social Images In MM '14: Proceedings of the ACM International Conference on Multimedia. New York, NY, USA: ACM, 2014.

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